期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 366, 期 1, 页码 587-607出版社
ELSEVIER
DOI: 10.1016/j.physa.2005.10.024
关键词
complex networks; random graphs; statistical mechanics; Markov process
We discuss various ensembles of homogeneous complex networks and a Monte-Carlo method of generating graphs from these ensembles. The method is quite general and can be applied to simulate micro-canonical, canonical or grand-canonical ensembles for systems with various statistical weights. It can be used to construct homogeneous networks with desired properties, or to construct a non-trivial scoring function for problems of advanced motif searching. (c) 2005 Elsevier B.V. All rights reserved.
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